Inspired by the human perception system, the effectiveness of attention mechanisms become increasingly affirmed by many fields, especially in computer vision for robotics [1]}, [2]}, [3]}, [4]}.
By intuitively introducing the multi-level visual attention into the training and detection stages of the CF-based framework, the tracker can be enhanced with a comprehensive attention framework. The object-oriented capability can increase the discriminative power against partial occlusion, background clutter, and other challenging factors, which often appear in UAV tracking scenes.
